An intelligent search engine for electronic government applications for the resolutions of the united nations security council

Abstract

The paper describes the Olimpo System, a knowledge-based system that enables the user to access textual files and to retrieve information that is similar to the search context described by the user in natural language. The paper is focused on the innovation recently implemented on the system and its new features. It is included an explanation about the UN Security Council itself and how it works, as well as a detailed analysis of the format of the resolutions and its main characteristics. A detailed description is presented about the search level and the similarity metrics used by the system. The methodology applied to the Olimpo system emphasises the use of information retrieval methods combined with the Artificial Intelligence technique named SCS (Structured Contextual Search). © 2004 Springer Science + Business Media, Inc.